Yang Yang | FWI with wave-equation reflectivity modeling

8 December | Session: Full Waveform Inversion 1 | 17:00 - 18:00 (CET), 4th speaker. Full Waveform Inversion using wave-equation reflectivity modeling. 

Authors: Yang Yang, Jaime Ramos-Martinez, Dan Whitmore (PGS); Alejandro A. Valenciano (formerly of PGS); Nizar Chemingui (PGS). Click on the image below for the abstract.

Yang Yang demonstrates how reflection FWI using vector reflectivity modeling recovers deep model updates from conventional streamer lengths. The method is significantly more accurate, efficient, and robust than traditional implementations that use simplistic density models or Born modeling approximations. The reduced dependence upon long offsets for deep model updates is demonstrated with multisensor streamer data from offshore Canada.

EAGE 2020 TechTalk Yang Yang banner.png